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Applied Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

Applied AI Engineer Raleigh, NC Apply Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

S. mortgage market, and they are seeking a Principal Applied AI Engineer to lead the architecture of their AI platform's cognitive layer. This role involves designing autonomous workflows and ...

Applied AI Engineer

Raleigh, NC ยท On-site

$104K - $137K/yr

As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create real leverage across our internal systems and operations, and build it. You'll work inside a team ...

Applied AI Engineer

Raleigh, NC ยท On-site

$104K - $137K/yr

As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create real leverage across our internal systems and operations, and build it. You'll work inside a team ...

Applied AI Engineer

Raleigh, NC ยท On-site

$104K - $137K/yr

As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create real leverage across our internal systems and operations, and build it. You'll work inside a team ...

Applied AI Engineers

Raleigh, NC ยท On-site

$271K/yr

Partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data. Turn field insights into platform capabilities that ...

AI Engineer

Durham, NC ยท On-site

Strong applied AI and software engineering fundamentals * Builders who can span tech, product, and design thinking with high autonomy * Bias for shipping, iterating, and following customer feedback ...

Strong applied AI and software engineering fundamentals * Builderswho canspantech,product,and designthinkingwithhigh autonomy * Bias for shipping, iterating, and following customer feedback over ...

To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring * 8+ years of engineering experience, with deep care for ...

Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical ...

Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical ...

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Showing results 1-20

Applied Ai Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Applied AI Engineer, and why are they important?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

Is applied AI engineer a good career?

Applied AI engineers develop and implement artificial intelligence solutions, often requiring skills in machine learning, programming, and data analysis. The field offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or AI director, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are common in large tech companies or specialized AI firms for experienced professionals with a strong track record.

What are some common challenges Applied AI Engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.
What are popular job titles related to Applied Ai Engineer jobs in Raleigh, NC? For Applied Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Applied Ai Engineer jobs in Raleigh, NC look for? The top searched job categories for Applied Ai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Applied Ai Engineer jobs? Cities near Raleigh, NC with the most Applied Ai Engineer job openings:
Infographic showing various Applied Ai Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 77% In-person, and 23% Remote job distribution.
Applied AI Engineer

Applied AI Engineer

Bandwidth

Raleigh, NC โ€ข On-site

Other

Medical, Dental, Vision, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Applied AI Engineer

Raleigh, NC

Apply

Who We Are:

Bandwidth, a prior โ€œBest of ECโ€ award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!

At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband

What We Are Looking For:

As an Applied AI Engineer on the Corporate IT Engineering team, youโ€™ll identify where AI can create real leverage across our internal systems and operations, and build it. Youโ€™ll work inside a team that owns a broad and complex infrastructure footprint, embedding AI into the platforms and workflows that keep Bandwidth running. This is an infrastructure and systems role with a deep AI focus.

What You'll Do:

  • Own and extend existing AI platforms and tooling, improving reliability, expanding capabilities, and integrating them more deeply with internal systems.

  • Architect and build internal API layers and shared services that allow AI workflows and internal applications to publish, version, and retrieve outputs across the engineering ecosystem.

  • Identify and build AI-powered tooling that creates leverage across the Corporate IT Engineering stack, including infrastructure, identity, monitoring, and automation platforms.

  • Develop and iterate on proof-of-concepts that demonstrate how AI can augment or automate internal workflows; from anomaly detection in infrastructure logs to AI-assisted documentation and IT troubleshooting.

  • Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring reliable and reproducible deployments across environments.

  • Automate infrastructure provisioning and configuration using Terraform and Ansible, following infrastructure-as-code best practices.

  • Establish AI development patterns and best practices across the Corporate IT Engineering organization, helping teams adopt AI capabilities effectively and responsibly.

  • Stay current with the evolving AI and MLOps landscape and bring relevant advancements back to the team.

What You Need:

  • AI & Application Development

  • Hands-on experience owning or extending LLM-powered platforms, including RAG pipeline development, prompt engineering, and integrating LLM APIs into production internal systems.

  • Expert-level knowledge of AI infrastructure, including model serving, inference optimization, GPU/CPU resource management, and MLOps pipelines.

  • Experience designing and building internal API layers or shared platform services that multiple teams and systems publish to and consume from.

  • Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight internal services.

  • Experience working with REST APIs and building integrations across a diverse internal tooling ecosystem.

  • Cloud & Infrastructure

  • Strong AWS experience: required proficiency in core services (EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC) and experience architecting and operating production workloads on AWS.

  • Deep Docker and Kubernetes expertise: required hands-on experience containerizing applications, writing Dockerfiles, managing multi-container deployments, and orchestrating workloads with Kubernetes (EKS or self-managed).

  • Deep Terraform and Ansible expertise: required experience writing and maintaining Terraform modules for cloud infrastructure, and using Ansible for configuration management and automation.

  • Experience with GitHub for version control, pull request workflows, branching strategies, and CI/CD integration.

  • Experience with Artifactory for artifact management, including publishing and consuming build artifacts, Docker images, and package registries.

  • Mindset & Collaboration

  • An experimental mindset: comfortable inheriting imperfect systems, iterating quickly, and improving as you go.

  • Ability to evaluate AI capabilities through a business lens, understanding not just whatโ€™s possible but what creates real value for internal teams and the organization.

  • Strong communication skills and the ability to explain AI concepts and tradeoffs to non-technical stakeholders.

  • A collaborative, team-first approach with a genuine curiosity about where AI is headed.

  • A Bachelorโ€™s degree in Computer Science, Engineering, or equivalent hands-on experience.

Bonus Points:

  • Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.

  • Familiarity with corporate IT or infrastructure engineering environments, understanding how enterprise platforms around identity, monitoring, and automation operate.

  • Background building MCP (Model Context Protocol) servers or tools that extend AI agent capabilities.

  • Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search.

  • Experience building or maintaining internal developer platforms, artifact registries, or shared API services.

The Whole Person Promise:

At Bandwidth, weโ€™re pretty proud of our corporate culture, which is rooted in our โ€œWhole Person Promise.โ€ We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Wellโ€ฆ

  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.

  • All new hires receive four weeks of PTO.

  • PTO Embargo. When you take time off (of any kind!) youโ€™re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO โ€“ not even with email.

  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.

  • โ€œMahalo momentsโ€ program grants additional time off for lifeโ€™s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.

  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you excited about the position and its responsibilities, but not sure if youโ€™re 100% qualified? Do you feel you can work to help us crush the mission? If you answered โ€˜yesโ€™ to both of these questions, we encourage you to apply! You wonโ€™t want to miss the opportunity to be a part of the BAND.

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